{"id":"https://openalex.org/W2989937967","doi":"https://doi.org/10.1109/ichi.2019.8904553","title":"An Association-Based Intrinsic Quality Index for Healthcare Dataset Ranking","display_name":"An Association-Based Intrinsic Quality Index for Healthcare Dataset Ranking","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2989937967","doi":"https://doi.org/10.1109/ichi.2019.8904553","mag":"2989937967"},"language":"en","primary_location":{"id":"doi:10.1109/ichi.2019.8904553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi.2019.8904553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Healthcare Informatics (ICHI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077066897","display_name":"Jingyi Shi","orcid":"https://orcid.org/0000-0002-9017-3006"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jingyi Shi","raw_affiliation_strings":["University of North Carolina at Charlotte,Department of Software and Information Systems,Charlotte,USA","Department of Software and Information Systems, University of North Carolina at Charlotte, Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte,Department of Software and Information Systems,Charlotte,USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"Department of Software and Information Systems, University of North Carolina at Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333617","display_name":"Jialin Zhang","orcid":"https://orcid.org/0000-0001-7527-758X"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jialin Zhang","raw_affiliation_strings":["University of North Carolina at Charlotte,Department of Mathematics and Statistics,Charlotte,USA","Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte,Department of Mathematics and Statistics,Charlotte,USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029749535","display_name":"Yaorong Ge","orcid":"https://orcid.org/0000-0002-9576-0293"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaorong Ge","raw_affiliation_strings":["University of North Carolina at Charlotte,Department of Software and Information Systems,Charlotte,USA","Department of Software and Information Systems, University of North Carolina at Charlotte, Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte,Department of Software and Information Systems,Charlotte,USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"Department of Software and Information Systems, University of North Carolina at Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077066897"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":0.3185,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63695466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12246","display_name":"Chronic Disease Management Strategies","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12246","display_name":"Chronic Disease Management Strategies","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7492757439613342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7410471439361572},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7149989604949951},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6946808099746704},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6250707507133484},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5670955777168274},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5575190186500549},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.528549313545227},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5116432309150696},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4765665829181671},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4677192270755768},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34783604741096497}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7492757439613342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410471439361572},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7149989604949951},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6946808099746704},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6250707507133484},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5670955777168274},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5575190186500549},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.528549313545227},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5116432309150696},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4765665829181671},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4677192270755768},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34783604741096497},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichi.2019.8904553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi.2019.8904553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Healthcare Informatics (ICHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1678889691","https://openalex.org/W1977098485","https://openalex.org/W2009432182","https://openalex.org/W2043772506","https://openalex.org/W2077509789","https://openalex.org/W2100358124","https://openalex.org/W2155344811","https://openalex.org/W2158939484","https://openalex.org/W2518786827","https://openalex.org/W2580732432","https://openalex.org/W2618327808","https://openalex.org/W2791174045","https://openalex.org/W2795565600","https://openalex.org/W2883962135","https://openalex.org/W2901657856","https://openalex.org/W2917031985","https://openalex.org/W3120740533","https://openalex.org/W3165241807","https://openalex.org/W6683024897"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W2352440174","https://openalex.org/W4309440960","https://openalex.org/W2793336762","https://openalex.org/W2091548507","https://openalex.org/W51364034","https://openalex.org/W2898073868","https://openalex.org/W4284663758"],"abstract_inverted_index":{"As":[0],"the":[1,29,42,63,67,85,88,98,101,119,143,150,161,171,186,197,200,208,211,229,234,261,264,283],"number":[2],"and":[3,60,79,103,145,178,202,217,240,259],"source":[4],"of":[5,13,31,37,69,76,87,97,118,121,147,159,164,173,199,210,222,237,263,272],"health-related":[6,38],"datasets":[7,14,124,148,166,239,268,274],"continue":[8],"to":[9,52,62,129,134,246],"grow":[10],"significantly,":[11],"identification":[12,46,249],"that":[15,84,114,167,228,270,282],"are":[16,106],"most":[17,265],"appropriate":[18],"for":[19,28,250,257],"a":[20,54,70,74,115,181,214,255,293],"research":[21,64,80,290],"question":[22],"is":[23,72,125,168],"becoming":[24],"ever":[25],"more":[26],"important":[27,128,244],"field":[30],"health":[32],"data":[33,39,77,130,135],"analytics.":[34],"The":[35],"complexity":[36],"further":[40],"exacerbates":[41],"challenge":[43],"in":[44,100,123,149,180],"dataset":[45,55,71,89,248],"as":[47,252,254],"it":[48,138],"requires":[49],"significant":[50],"efforts":[51],"understand":[53],"before":[56],"recognizing":[57],"its":[58,204],"appropriateness":[59,68],"quality":[61,86,163,236],"purpose.":[65],"While":[66],"largely":[73],"function":[75],"semantics":[78],"questions,":[81],"we":[82,112,155,184,195,280],"hypothesize":[83],"can":[90,231,275,285],"be":[91],"assessed":[92],"by":[93,213],"some":[94],"intrinsic":[95,162,188,235],"properties":[96,105],"features":[99,122,271],"dataset,":[102,182],"these":[104,273],"common":[107],"across":[108],"all":[109],"datasets.":[110,225],"Moreover,":[111],"believe":[113,227],"good":[116],"understanding":[117],"usefulness":[120],"not":[126],"only":[127],"analysts":[131],"but":[132],"also":[133,286],"providers":[136],"because":[137],"will":[139],"help":[140,232,287],"them":[141],"improve":[142],"design":[144,198,262],"acquisition":[146],"future.":[151],"In":[152,192],"this":[153,193],"study,":[154],"propose":[156],"one":[157],"way":[158],"measuring":[160],"healthcare":[165,224,238,267],"based":[169],"on":[170],"degree":[172],"association":[174],"among":[175],"attributes":[176],"(features":[177],"outcomes)":[179],"which":[183],"call":[185],"Association-based":[187],"Quality":[189],"Index":[190],"(AQI).":[191],"article,":[194],"describe":[196],"AQI":[201,212,230,284],"discuss":[203],"properties.":[205],"We":[206,226],"demonstrate":[207],"utility":[209],"user":[215],"study":[216],"results":[218],"from":[219],"two":[220],"pairs":[221],"real":[223],"assess":[233],"thus":[241],"provide":[242],"an":[243],"metric":[245],"assist":[247],"researchers":[251,288],"well":[253],"perspective":[256],"identifying":[258],"examining":[260],"valuable":[266],"so":[269],"inform":[276],"future":[277],"designs.":[278],"Furthermore,":[279],"argue":[281],"discover":[289],"opportunities":[291],"within":[292],"given":[294],"dataset.":[295]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}